By Topic

Visual machinery surveillance for high-speed periodic operations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Idaku Ishii ; Hiroshima University, 739-8527, Japan ; Yao-dong Wang ; Takeshi Takaki

Abnormal behavior detection in periodic operations and high-frame-rate (HFR) video logging were realized by introducing a visual machinery surveillance algorithm, which includes a phase-encoding process for periodic operations to match input images with pre-stored reference images efficientl. Assuming that the periodic machinery operations to be monitored are perfectly regular, the surveillance algorithm can encode the phase of a periodic operation just by inspecting temporal changes in the brightnesses at several significan pixels in an input image; abnormal behavior in the periodic operation can be detected by comparing the input image with a reference image synchronized with its encoded phase without the heavy computation needed to search all the reference images. This algorithm was software-implemented on a high-speed vision platform, IDP express, which can record input images of 512 ?? 512 pixels and process the results at 1000 fps. An experiment was performed using a sewing machine with periodic operation at a frequency of 12 Hz, and a vidio of the abnormal behavior was automatically recorded at 1000 fps to verify the effectiveness of HFR-video-based machinery surveillance.

Published in:

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

Date of Conference:

25-30 Sept. 2011